About Arva Intelligence

Arva is a machine learning software-based SaaS company with offices located in Houston, TX and Park City, UT. Arva's application platform was built to apply our novel ML technology to the agricultural industry, optimizing and measuring regenerative practices, improving crop yields, and reducing operational costs for farms, ranches, and forestry. Our models predict precisely what types and amounts of nutrients, including hybrid/genetic seeds and other biological/microbial products, should be applied to improve crop land sustainability and soil health. In addition, our platform helps our customers and partners capitalize on "natural regenerative practices" by providing recommendations that improve environmental and ecological ecosystems. Platform features include practice verification and registration, as well as the sale of inset and offset credits to our corporate buyers. Thus, Arva is helping to keep the planet green by providing a "green-tech" platform that informs, measures, validates, predicts, and registers carbon exchange opportunities, allowing growers and ranchers to produce and sell credits that are bought by our corporate partners, who endorse sustainable food supply and carbon neutrality. 

General Position Description

We are seeking a highly skilled Ecosystem Modeling Specialist to join our team. The successful candidate will be responsible for developing, calibrating, and validating ecosystem models, with a particular focus on agronomic systems. The specialist will use models like DayCent, EcoSys, or similar to analyze soil processes, crop growth, nutrient cycling, and greenhouse gas emissions under various agricultural management scenarios.

Primary Job Responsibilities

• Develop and apply ecosystem models to simulate agronomic systems, focusing on soil biogeochemistry, crop production, and environmental impact.
• Calibrate and validate model outputs using field data to ensure accuracy and reliability.
• Analyze model predictions to assess the impacts of different agricultural practices on ecosystem services and sustainability.
• Collaborate with interdisciplinary teams to integrate modeling results into broader environmental and agricultural research.
• Communicate findings through technical reports, scientific publications, and presentations to stakeholders, including policymakers, farmers, and academic communities.
• Contribute to the development of new modeling approaches and the improvement of existing models.
• Stay abreast of advancements in ecosystem modeling and related fields.

Key Competencies / Requirements

• Advanced degree in Environmental Science, Agronomy, Soil Science, or a related field.
• Proven experience in ecosystem modeling, particularly with models like DayCent, EcoSys, or similar.
• Strong understanding of soil science, agronomy, and environmental processes.
• Proficient in data analysis and statistical methods.
• Excellent communication skills, both written and verbal.
• Ability to work collaboratively in a multidisciplinary team environment.
• Commitment to promoting sustainable agricultural practices.
• Strong attention to detail and ability to prioritize tasks.
• Ability to adapt to changing project priorities and timelines.
• PhD in a relevant field, preferred.
• Experience with GIS and remote sensing technologies, preferred

Employment Eligibility

• Only applicants currently eligible to work in the United States will be considered for this position.